Multiple Network
Web3 privacy acceleration solution for AI applications.
| Date | Investors | Amount | Round |
|---|---|---|---|
$2.0m | Seed | ||
| Total Funding | 000k | ||
Multiple Network is a Web3 privacy and data acceleration solution designed for artificial intelligence applications. Founded in 2021 by Zeus Chen, the company utilizes peer-to-peer (P2P) and software-defined wide area network (SD-WAN) technologies to enhance the security and efficiency of AI model training and inference. The platform aggregates bandwidth from a global network of distributed nodes to provide anonymous communication, encrypted data transmission, higher bandwidth, and lower latency.
The business operates on a multi-sided model. It allows users, referred to as 'providers', to monetize their idle internet bandwidth by contributing it to the network. In return, other users and AI developers can utilize these aggregated resources for tasks such as AI model invocation and secure handling of large-scale sensitive data, paying as they go. This decentralized structure offers a cost-effective alternative to traditional dedicated connection services while ensuring data privacy through end-to-end encryption.
Multiple Network, formerly known as Multiple Protocol, has secured funding from investors including OKX Ventures, NGC Ventures, and Gate.io Labs. The company's roadmap includes the launch of a utility token and deployment on The Open Network (TON) testnet, with goals to expand its user and node ecosystem significantly.
Keywords: Web3, privacy acceleration, AI, decentralized network, P2P networking, SD-WAN, DePIN, data acceleration, anonymous communication, encrypted transmission, bandwidth aggregation, blockchain technology, decentralized infrastructure, multi-sided platform, idle bandwidth monetization